[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: dependencies/cuda.py requires python 3.6 and does not support ARM linux **Describe the bug** Invalid use of regex match indexing results in an unhandled exception or a failure to find the CUDA library that is actually there. - Root cause: lines 162 and 175 - Indexing regex matches is only supported from python 3.6 (use `.group()` instead) - Root cause: line 162 - Missing exception handling for - Root cause: line 195 - No check for aarm64 in linux architectures, should be matched to lib64 folder name **To Reproduce** Using Python 3.5: meson.build: `dependency('cuda')` Unhandled exception observed: ``` File "/home/nvidia/.local/lib/python3.5/site-packages/mesonbuild/dependencies/cuda.py", line 162, in _cuda_toolkit_version return m[1] TypeError: '_sre.SRE_Match' object is not subscriptable ``` If you fix that it will fail silently but the log shows the same error for line 175 For the ARM issue, run the same from an ARM machine. **Expected behavior** Find the CUDA version with no exceptions and no need to install Python 3.6 **system parameters** * native - NVIDIA Jetson TX2 * Ubuntu 16.04 * 3.5.2 * 0.54.1 * N/A **Notes** I have not submitted a pull request because I don't time at the minute to figure out how to add a CI test to ensure the use of python 3.5, I would have thought was standard for all tests as it is the minimum required by meson? Probably this code never gets executed in the current test suite (need a test with no CUDA installed). All tests should fail at the moment on an ARM platform, that would be easy to test if you have access to one but I imagine they are hard to come by in the cloud. I can submit a request without test changes, but a meson build log showing success, if that's ok? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: celery.contrib.sphinx fails with Sphinx 1.6.1 When using the `celery.contrib.sphinx` extension with Sphinx 1.6.1 with Celery 4.0.2 the following occurs: ``` Exception occurred: File "/home/ubuntu/virtualenvs/venv-system/lib/python2.7/site-packages/celery/contrib/sphinx.py", line 72, in setup app.domains['py'].directives['task'] = TaskDirective AttributeError: 'Sphinx' object has no attribute 'domains' The full traceback has been saved in /tmp/sphinx-err-oOWabx.log, if you want to report the issue to the developers. Please also report this if it was a user error, so that a better error message can be provided next time. A bug report can be filed in the tracker at <https://github.com/sphinx-doc/sphinx/issues>. Thanks! make: *** [html] Error 1 ``` The `domains` property seems to have been removed in sphinx-doc/sphinx#3656 and I think this line needs to be replaced with the [`add_directive` method](http://www.sphinx-doc.org/en/stable/extdev/appapi.html#sphinx.application.Sphinx.add_directive) (or more likely the [`add_directive_to_domain` method](http://www.sphinx-doc.org/en/stable/extdev/appapi.html#sphinx.application.Sphinx.add_directive_to_domain)). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Custom multiqubit gates overlap <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master ### What is the current behavior? Custom multiqubit gates can overlap other gates. ![image](https://user-images.githubusercontent.com/40489777/64109983-c6683b00-cd78-11e9-9bcd-a3e5e11f0f35.png) I think this is because the width of a layer has to be an integer, and this is what happens when the layer is given a width of 2. The result for a width of 3 below is obviously still not desirable but at least there is not overlap. ![image](https://user-images.githubusercontent.com/40489777/64110058-fa436080-cd78-11e9-9a58-774413a6d931.png) ### Steps to reproduce the problem ```python q = QuantumRegister(3) c = ClassicalRegister(3) circ1 = QuantumCircuit(q, c, name='my instruction') circ1.measure(1, 1) inst = circ1.to_instruction() circ2 = QuantumCircuit(q, c, name='circ2') circ2.h(0) circ2.append(inst, q[:], c[:]) circ2.draw(output='mpl') ``` ### What is the expected behavior? The custom gate is drawn a suitable distance away from the previous gate ### Suggested solutions Look at how to modify where the gate is plotted, maybe by taking more into consideration in `Anchor.plot_coord()` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Consistency of docstrings between `ones`, `zeros` and `empty`. There is some inconsistency in docstrings for 3 frequently used constructor functions: * `ones` * `zeros` * `empty` 1. The docstring for `ones` looks as follows: ```python ones(shape, dtype=None, order='C'): """ Return a new array of given shape and type, filled with ones. Parameters ---------- shape : int or sequence of ints Shape of the new array, e.g., ``(2, 3)`` or ``2``. dtype : data-type, optional The desired data-type for the array, e.g., `numpy.int8`. Default is `numpy.float64`. order : {'C', 'F'}, optional Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. ``` Interesting part here is signature `ones(shape, dtype=None, order='C')`, and `dtype=None`. While `dtype` description it is said that "Default is `numpy.float64`". For other two functions the signatures are: zeros(shape, dtype=float, order='C') empty(shape, dtype=float, order='C') While they are better, they are also incorrect -> should be `dtype=double` or `dtype=float64`. 2. The description of parameters for `ones` and `zeros` a pretty identical. But for the `empty` it is somewhat stripped down: ```python Docstring: empty(shape, dtype=float, order='C') Return a new array of given shape and type, without initializing entries. Parameters ---------- shape : int or tuple of int Shape of the empty array dtype : data-type, optional Desired output data-type. order : {'C', 'F'}, optional Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Call for comments: Python 2.6 support will be dropped August 1, 2016 Anyone who thinks they still need Python 2.6, please speak up here. (Sorry there isn't a better channel.) Relates to #995 /cc @tseaver @jgeewax Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Make module federation remoteEntry.js use hashes Let's enable hashes for remoteEntry.js files so that browser won't cache these files across extension upgrades. - [x] Change https://github.com/jupyterlab/jupyterlab/blob/b8a145acd9ad599d5505384b4c2a39495cb9850c/buildutils/src/webpack.config.ext.ts#L157 to be something like `remoteEntry.[chunkhash].js`, I think should do it - [x] Store this path somewhere in generated extension metadata? - [x] Change the server to include the loading path in the pageconfig extension metadata again (which we recently removed because it was redundant). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Warn users using `Docker` storage if their Python versions mismatch Presumably this is easiest to do in the healthcheck, as users could be providing custom images with custom names. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Settle on a choice for $IPYTHONDIR Our environment variable used to be called IPYTHONDIR, at some point we changed to IPYTHON_DIR, but now we have code using both. We should settle on only one, and issue a warning when we find the alternative in use. We shouldn't flat out remove the other for a long time, as I suspect by now both are used in the wild and this would be gratuitous breakage for the users. From an informal scan of projects, IPYTHONDIR seems to be more commonly used, but we should check more carefully. We should settle on the version that we find to be in widest use, to minimize unnecessary hassles for users. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Bail when trying to store un-pickleable composite types we might consider hard throwing when name is None since that is explicitly not working right now and then linking to issue in the exception error message _Originally posted by @schrockn in https://github.com/dagster-io/dagster/pull/1055_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: API Endpoints - Read-only - Pools **Description** Hello We need to create several endpoints that perform basic read-only operations on **Pools** . We need the following endpoints: - GET /pools - GET /pools/{pool_name} Detailed information is available in the issue: https://github.com/apache/airflow/issues/8118 **Use case / motivation** N/A **Related Issues** N/A Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: bad output for composite gates in text drawer <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? When drawing a composite gate on non-adjacent qubits, the text drawer sometimes prints the gate name multiple times. ```python import numpy from qiskit import QuantumRegister, QuantumCircuit from qiskit.quantum_info.operators import Unitary sigmax = numpy.array([[0, 1], [1, 0]]) sigmay = numpy.array([[0, -1j], [1j, 0]]) xy = Unitary(numpy.kron(sigmax, sigmay)) q = QuantumRegister(5) circ = QuantumCircuit(q) circ.append(xy, [q[0], q[3]]) print(circ) ``` ``` ┌─────────┐ q7_0: |0>┤0 ├ │ │ q7_1: |0>┤ unitary ├ │ unitary │ q7_2: |0>┤ unitary ├ │ │ q7_3: |0>┤1 ├ └─────────┘ q7_4: |0>─────────── ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: DOC: document how to change ipcontroller-engine.json in case controller was started with --ip="*" When the controller was started and bound to "*" (as the documentation of the config file says), the ipcontroller-engine.json file will include the following line: ``` "interface": "tcp://*", "location": "127.0.0.1" ``` At least in my case it was not enough to change the location to the controller IP, but I had to include the controller IP via the interface line: ``` "interface": "tcp://xx.xx.xx.xx", "location": "xx.xx.xx.xx" ``` It would both be nice to document how to specify the IP of the controller in the tutorial (http://ipython.org/ipython-doc/dev/parallel/parallel_process.html#starting-the-controller-and-engines-on-different-hosts) and/or change the logic to find the IP to bind to in the engine to take the location argument into account when the interface specifies "*". Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: openmp arguments added when openmp is not preasnat It turns out that we assume that a compiler will always have openmp support if it can have openmp support, which is a bad assumption. If GCC is compiled without openmp support we'll still introduce `-fopenmp` into the command line arguments for the compiler, which it doesn't recognize and will reject. I have some WIP patches for this already. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: (Distributed)LengthGroupedSampler: allow only providing lengths but not a dataset # 🚀 Feature request Currently `LengthGroupedSampler` & `DistributedLengthGroupedSampler` require a `dataset` and optionally `lengths`. However, the sole purpose of `dataset` here is to get the lengths, so these classes should allow providing `lengths` only but not a `dataset`. This is easily doable for `LengthGroupedSampler` by giving `None` as a `dataset` (though not very elegant). However, `DistributedLengthGroupedSampler` actually calls `len(dataset)` even when `lengths` is provided (this can be easily circumvented by calling `len(lengths)` instead if provided). I think it'd be great if both classes make `dataset` an optional parameter but check that at least one of `dataset` and `lengths` is provided. ## Motivation Sometimes people do not use a HuggingFace Dataset instance, but find the functionality provided by `LengthGroupedSampler` convenient to use. So they can manually provided `lengths`. ## Your contribution I can submit a PR, if needed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Remove adding Operators via plugins in 2.0 In Airflow 2.0 we should remove the ability to add operators and hooks via plugins. I think we should deprecate adding Operators and Hooks via the Airflow plugin mechanism. I think plugins should be reserved for any mechanism that a plain-ol python module import won't work for (which is basically anything that needs to tie deeply in to the Webserver or Scheduler process). To that end I think we should deprecate adding operators via plugins: ```python from airflow.operators.my_plugin import MyOperator ``` can become ```python from my_plugin import MyOperator ``` with no impact on functionality. For this not to be a hard/sudden breaking change we should issue a deprecation warning for this in 1.10.12 - https://github.com/apache/airflow/issues/9500 Discussed here: https://lists.apache.org/thread.html/a1453d6a6f113709386b61c68c3f5cd61b258fe78f07811169500fe3%40%3Cdev.airflow.apache.org%3E Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: pdb files not installed Using ninja the generated pdb files are not installed. They should be installed with the dll/exe files. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: compile_resources of Windows module regressed since 0.44 My build builds several executables in different subdirectories included in a main meson.build using 'subdir'. Each of these sub meson.builds compiles a file named 'version.rc' using code like this: ``` if host_machine.system() == 'windows' foo_sources += import('windows').compile_resources( 'src/version.rc' ) endif ``` This works fine with meson versions up to 0.44.1. All later versions produce the error > ERROR: Multiple producers for Ninja target "foo/version.res". Please rename your targets. But renaming all 'version.rc' files to e.g. 'foo_version.rc' is not an option. And C++ files that carry identical names in different subdirectories aren't a problem either. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Deprecating `position_ids` in GPTJ ### System Info latest transformers version, pytorch ### Who can help? Hi @ArthurZucker and @younesbelkada, let me know if someone else should be tagged in this, esp. considering this is a harmless "bug", not something really urgent. Basically what the title says: I think the position_ids in the [GPT-J code](https://github.com/huggingface/transformers/blob/main/src/transformers/models/gptj/modeling_gptj.py) should be deprecated, since they are not used anywhere as far as I can tell. Something along the line of what bloom does at: https://github.com/huggingface/transformers/blob/main/src/transformers/models/bloom/modeling_bloom.py#L891 I can also submit a PR if you want, just wanted to make sure I didn't overlook anything. Let me know, Clément ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction N/A ### Expected behavior Cleaner code, no useless no-op Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda throws error if allow_other_channels setting is used The feature to lock down what channels your users are allowed to use stopped working http://conda.pydata.org/docs/install/central.html#allow-other-channels-allow-other-channels Reproduced this error in Windows 10 and OS X 10.11.5, if you use this setting in the systemwide .condarc file. ``` $ cat /Users/jenns/anaconda/.condarc allow_other_channels: False channels: - defaults ``` ``` $ conda info Traceback (most recent call last): File "/Users/jenns/anaconda/bin/conda", line 6, in <module> sys.exit(main()) File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/cli/main.py", line 61, in main from conda.cli import conda_argparse File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/cli/conda_argparse.py", line 15, in <module> from .common import add_parser_help File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/cli/common.py", line 12, in <module> from ..config import (envs_dirs, default_prefix, platform, update_dependencies, File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/config.py", line 331, in <module> allowed_channels = get_allowed_channels() File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/config.py", line 329, in get_allowed_channels return normalize_urls(base_urls) File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/config.py", line 253, in normalize_urls urls = get_rc_urls() + urls File "/Users/jenns/anaconda/lib/python2.7/site-packages/conda/config.py", line 197, in get_rc_urls if rc.get('channels') is None: AttributeError: 'NoneType' object has no attribute 'get' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Missing `f` prefix on f-strings Some strings looks like they're meant to be f-strings but are missing the `f` prefix meaning variable interpolation won't happen. https://github.com/celery/celery/blob/8d35c655d6ac408023da5e30ca81bc834e68bca0/celery/backends/dynamodb.py#L131 I found this issue automatically. I'm a bot. Beep Boop 🦊. See other issues I found in your repo [here](https://codereview.doctor/celery/celery) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: pooler of dino-v2 is newly initialized when loading the pre-trained model ### System Info I have encountered the following warning when loading `facebook/dinov2-giant`: `Some weights of Dinov2Model were not initialized from the model checkpoint at models--facebook--dinov2-giant and are newly initialized:['pooler.dense.bias', 'pooler.dense.weight']` does this mean that we cannot utilize the output.pooler_output as the global feature? transformers 4.32.0.dev0 ### Who can help? _No response_ ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction import os from transformers import AutoImageProcessor, AutoModel from PIL import Image image_path = 'COCO_val2014_000000000285.jpg' image = Image.open(image_path) processor = AutoImageProcessor.from_pretrained(r"models--facebook--dinov2-giant") model = AutoModel.from_pretrained(r"models--facebook--dinov2-giant") inputs = processor(images=[image] * 2, return_tensors="pt") outputs = model(**inputs) last_hidden_states = outputs.last_hidden_state # bs x 257 x 1536, all features [global, patch ....] global_feature = outputs.pooler_output # bs x 1536, global image feature after pooling layer print(last_hidden_states.size()) ### Expected behavior expect the outputs.pooler_output is meaningful Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Emscripten cross-build gets stuck in an endless reconfigure loop This is a 0.51 regression introduced in 65e59c84a198062f21ab68fdae41b3e5de8d8480 I frankly have no idea what is actually causing it, and so far I've been only able to reproduce it with an Emscripten toolchain. These steps, I believe, should reproduce the bug: 1) Install the latest Emscripten as instructed [here](https://emscripten.org/docs/getting_started/downloads.html). Make sure to source the `emsdk_env.sh` script as well. 2) Create a cross file as follows: ```ini [binaries] c='/path/to/emscripten/emcc' cpp='/path/to/emscripten/em++' ar='/path/to/emscripten/emar' ranlib='/path/to/emscripten/emranlib' pkgconfig=['/path/to/emscripten/emconfigure', 'pkg-config'] file_packager=['/usr/bin/python3', '/path/to/emscripten/tools/file_packager.py'] [properties] root='/path/to/emscripten/system' needs_exe_wrapper=true [host_machine] system='emscripten' cpu_family='wasm' cpu='wasm32' endian='little' ``` (Some of these fields might be extraneous for the purpose of testing. I kept it as similar to my local configuration as possible.) 3. Create and build a minimal project: `echo "project('fail', 'c')" > meson.build && meson --cross-file emscripten builddir && ninja -C builddir` 4. Hit Ctrl+C when you've had enough. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: more generator support for cmake dependencies Here are code snippets in `./libtorch/share/cmake/Caffe2/Caffe2Targets.cmake`: ``` # Generated by CMake ... # Generated CMake target import file. ... set_target_properties(torch_library PROPERTIES INTERFACE_COMPILE_DEFINITIONS "\$<TARGET_PROPERTY:torch,INTERFACE_COMPILE_DEFINITIONS>" INTERFACE_COMPILE_OPTIONS "\$<TARGET_PROPERTY:torch,INTERFACE_COMPILE_OPTIONS>" INTERFACE_INCLUDE_DIRECTORIES "\$<TARGET_PROPERTY:torch,INTERFACE_INCLUDE_DIRECTORIES>" INTERFACE_LINK_LIBRARIES "-Wl,--no-as-needed,\"\$<TARGET_FILE:torch>\" -Wl,--as-needed;\$<TARGET_PROPERTY:torch,INTERFACE_LINK_LIBRARIES>" INTERFACE_SYSTEM_INCLUDE_DIRECTORIES "\$<TARGET_PROPERTY:torch,INTERFACE_SYSTEM_INCLUDE_DIRECTORIES>" ) ``` In meson, detecting libtorch (via cmake) fails. As this file says it's generated, generators used are probably limited. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: import_array hides true cause of import errors When compiling for Python 3, it would be useful to utilize exception chaining to explain why "numpy.core.multiarray failed to import". I think you can use [PyException_SetCause](https://docs.python.org/3/c-api/exceptions.html#c.PyException_SetCause) to do this? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: map_location hasn't been implemented in load_from_checkpoint **Describe the bug** Current `load_from_checkpoint` function does not support to load a gpu checkpoint on cpu devices, i.e. map the location. **To Reproduce** ``` # on a cpu only device: Model.load_from_checkpoint("GPU_CHECKPOINT_FILE") ``` **Expected behavior** `AssertionError: Torch not compiled with CUDA enabled` **Desktop (please complete the following information):** - OS: macOS Catalina 10.15.1 - Browser: chrome - Version: 0.5.3.1 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: pi_check does not seems to be running over the values in bind_parameters After #2808, the visualizations represent fractions of `pi` very nicely. ```python my_u2_circuit = QuantumCircuit(1, name='my_u2') phi = Parameter('phi') lam = Parameter('lambda') my_u2_circuit.u3(3.141592653589793, phi, lam, 0) print(my_u2_circuit) ``` ``` ┌───────────────────┐ q_0: |0>┤ U3(pi,phi,lambda) ├ └───────────────────┘ ``` However, there are some corner cases missing. Like this one: ```python my_u2 = my_u2_circuit.to_gate() qr = QuantumRegister(1, name='qr') circuit = QuantumCircuit(qr, name='circuit') circuit.append(my_u2, [qr[0]]) circuit = circuit.bind_parameters({phi: 3.141592653589793, lam: 3.141592653589793}) print(circuit) ``` ``` ┌──────────────────────────────────────────┐ qr_0: |0>┤ My_u2(3.14159265358979,3.14159265358979) ├ └──────────────────────────────────────────┘ ``` ## What is expected? The last example should look like this: ``` ┌──────────────┐ qr_0: |0>┤ My_u2(pi,pi) ├ └──────────────┘ ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Default max_bytes in pubsub seems wrong https://github.com/GoogleCloudPlatform/google-cloud-python/blob/005ddd11770f8953643dac9b64a037524da2f49e/pubsub/google/cloud/pubsub_v1/types.py#L43 In my code I'm seeing this: ``` google.api_core.exceptions.InvalidArgument: 400 The value for 10159812 is too large. You passed request_size in the request, but the maximum value is 10000000. ``` Based on the error coming out of the pubsub, I think this default max size is wrong. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: AutoModel(s) do not respect the `revision` flag while loading custom models ### System Info - `transformers` version: 4.21.1 - Platform: macOS-12.4-arm64-arm-64bit - Python version: 3.10.5 - Huggingface_hub version: 0.8.1 - PyTorch version (GPU?): 1.12.1 (False) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: no - Using distributed or parallel set-up in script?:no ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction ```python from transformers import AutoModelForImageClassification m = AutoModelForImageClassification.from_pretrained( "sgugger/custom-resnet50d", trust_remote_code=True, revision="ed94a7c6247d8aedce4647f00f20de6875b5b292" ) # It will print: # Explicitly passing a `revision` is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. ``` I stepped through the code and observed that `AutoConfig.from_pretrained` [here](https://github.com/huggingface/transformers/blob/main/src/transformers/models/auto/auto_factory.py#L423) swallows the `revision` from `kwargs`, meaning that later on line [433](https://github.com/huggingface/transformers/blob/main/src/transformers/models/auto/auto_factory.py#L433) it's no longer there. I believe the same issue applies to `use_auth_token`. ### Expected behavior I think the revision should propagate to both the configuration and model. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: vmap over PRNG keys Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Rework examples/ to overwrite cache_dir for datasets too. # 🚀 Feature request Currently, you can pass [cache_dir](https://github.com/huggingface/transformers/blob/ef102c48865d70ff354b8ba1488d3fa8bfc116d8/examples/seq2seq/run_summarization.py#L79) into the `examples/` script to overwrite the `cache_dir` of [model config and tokenizers](https://github.com/huggingface/transformers/blob/ef102c48865d70ff354b8ba1488d3fa8bfc116d8/examples/seq2seq/run_summarization.py#L336). What would be the best way to adjust this to be able to use the `cache_dir` parameter for `datasets` [load_dataset](https://github.com/huggingface/transformers/blob/ef102c48865d70ff354b8ba1488d3fa8bfc116d8/examples/seq2seq/run_summarization.py#L313) method and `transformers` ## Motivation When running training on Amazon SageMaker the cache_dir (`~/.cache/`) is not mounted to an EBS and cannot be increased. Therefore we need an option to point the `cache_dir` to an EBS backed directory for using the `examples/` scripts with large datasets. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Non used override requirements brings error in CMake To help us debug your issue please explain: - [ x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [ x] I've specified the Conan version, operating system version and any tool that can be relevant. - [ x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. I use conan 17.2 on a Windows 10 computer. Our Jenkins / Gerrit server delivers a list of changed libraries, which are in review phase. So e.g. I got `LibA` and `Lib B`. Both are changed. `LibC` depends on `LibA`. `LibD` depends on `LibA` and `LibB`. I generate an "override.txt", where "LibA" and "LibB" from the review channel are inside. Now I can build `LibD` without a problem, because it uses both libraries (`LibA` & `LibB`). The `test_package` of `LibC` will not build because the generated `conanbuildinfo.cmake` has the following dependency: ``` conan_package_library_targets("${CONAN_LIBS_LIBC}" "${CONAN_LIB_DIRS_LIBC}" CONAN_PACKAGE_TARGETS_LIBC "CONAN_PKG::LibA CONAN_PKG::LibB" "" LibC) ``` Where there is no definition inside the cmake file, so that he can't find target: ``` CMake Error at CMakeLists.txt:12 (add_executable): Target "LibC-test" links to target "CONAN_PKG::LibB" but the target was not found. Perhaps a find_package() call is missing for an IMPORTED target, or an ALIAS target is missing? ``` Should this behave in this way, when there is an unused "override requirement"? Is there a good way to detect the not used "override requirements" before (e.g. `conan info`)? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Eliminate __getnewargs__ in ExecutionStep or put it under test I believe we can remove this. This was only here so that we could pickle this stuff in the currently unused and untested dagma project. This object is not really reliably pickleable anyways since it contains references to solid definitions and lambdas. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: MSBuild build helper always overrides runtime library field Affects Conan 1.2.x on Windows/MSVC. (pretty sure previous versions behaved slightly differently) - Recipe for a library that still uses .sln / .vcxproj files rather than CMake generated ones - Recipe builds both Debug and Release in the same package (`build_type` is not a setting on windows) - vcxproj files specify different `<RuntimeLibrary>` for Debug and Release configurations - conan default profile specifies `MD` as the desired compiler runtime - `build()` method uses the MSBuild build helper When building the recipe with `conan create` and conan 1.2.0, I observed that `/MD` was being passed to both Release *and* Debug configurations, which is undesired (do not want a Debug library linked with `/MD`, as that will not link with my projects). In light of this, I proceded to remove the compiler runtime as a setting: `self.settings.compiler.remove("runtime")` in the `configure()` method. Which caused the libraries to be built with a completely different runtime altogether (`/MT`). I believe the issue is in the function `_get_props_file_contents()` in the MSBuild build helper. By the looks of it, if `compiler.runtime` is empty, the value in the custom .props file gets initialised to an empty string (and in that case, I think MSBuild decides ?). I was able to work around this by calling `msbuild.get_command()` (which allows me to bypass the .props file) and then calling the command using `VisualStudioBuildEnvironment` . Kudos for the functionality :) (The one thing that I couldn't really work out was why MSBuild was warning me that the compiler runtime flag was being overridden when technically it shouldn't have been at this point. However it was being built with the correct values). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: [text drawer] controlled gates with labels @ewinston raises the question on how to handle controlled gates with labels in https://github.com/Qiskit/qiskit-terra/pull/4262#pullrequestreview-402277795. Considering this case: ```python h=HGate(label='my h') ch = h.control(label='my ch') qc.append(h, [0]) qc.append(ch, [0, 1]) ``` This is the current output: ``` ┌──────┐┌────────┐ q_0: ┤ my h ├┤0 ├ └──────┘│ my ch │ q_1: ────────┤1 ├ └────────┘ ``` Possible solutions: ``` ┌──────┐ my ch q_0: ┤ my h ├───■───── └──────┘┌──┴───┐ q_1: ────────┤ my h ├─ └──────┘ ``` ``` ┌──────┐ q_0: ┤ my h ├───■───────── └──────┘┌──┴my ch───┐ q_1: ────────┤ my h ├ └───────────┘ ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: allow to extend extra_hosts when using several configuration files According to the [documentation](https://docs.docker.com/compose/extends/#/adding-and-overriding-configuration) _docker-compose_ allows to extend a configuration by using multiple configuration files. This has become pretty handy for me. Unfortunately it does not work for all properties as expected, the _extra_hosts_ property gets replaced instead of extended. Please see the following MWE: ``` yaml # conf1.yml version: "2" services: test: image: ubuntu:14.04 expose: - "80" extra_hosts: - "foo:1.2.3.4" # conf2.yml version: "2" services: test: expose: - "443" extra_hosts: - "bar:5.6.7.8" ``` ``` bash $ docker-compose --version docker-compose version 1.7.1, build 6c29830 $ docker-compose -f conf1.yml -f conf2.yml config networks: {} services: test: expose: - '80' - '443' extra_hosts: bar: 5.6.7.8 image: ubuntu:14.04 version: '2.0' volumes: {} ``` The _foo_ entry gets removed in the _extra_hosts_ list, but I would have expected the list to contain both hosts, _foo_ and _bar_, just as it worked with _expose_. Can you please check if you can modify docker-compose so it behaves the same for _expose_ and _extra_hosts_ and extend instead of replace the entries? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Skip ipc tests on Windows There's one failure, and a couple of other errors dumped in the test log, because ZMQ's ipc transport requires Unix-y systems. ``` ====================================================================== ERROR: test_ipc_cinfo (IPython.kernel.tests.test_multikernelmanager.TestKernelManager) ---------------------------------------------------------------------- Traceback (most recent call last): File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-0.14.dev-py2.7.egg\IPython\kernel\tests\test_multikernelmanager.py", line 79, in test_ipc_cinfo self._run_cinfo(km, 'ipc', 'test') File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-0.14.dev-py2.7.egg\IPython\kernel\tests\test_multikernelmanager.py", line 54, in _run_cinfo stream = km.create_iopub_stream(kid) File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-0.14.dev-py2.7.egg\IPython\kernel\multikernelmanager.py", line 226, in create_iopub_stream iopub_stream = self._create_connected_stream(kernel_id, zmq.SUB, 'iopub') File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-0.14.dev-py2.7.egg\IPython\kernel\multikernelmanager.py", line 211, in _create_connected_stream sock.connect(url) File "socket.pyx", line 493, in zmq.core.socket.Socket.connect (zmq\core\socket.c:4960) ZMQError: Protocol not supported ``` https://jenkins.shiningpanda-ci.com/ipython/job/ipython-win-py27/39/console Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Upgrading version to 0.6.0. Using last release PR (#813) as a template. make ACL class standalone currently the ACL class is just a container and fetching the actual metadata is done with either the Bucket or the Key class, it would be nice to make the ACL class standalone. Something like: ``` acl = storage.ACL('/path/to/bucket') # or /path/to/key acl.grant(user_email='proppy@google.com', perm=ACL.READ) # or acl.grant['proppy@google.com'] = ACL.READ acl.save() print acl.get(user_email='proppy@googe.com') # or print acl['proppy@google.com'] ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: phony and PHONY dirs cause bugs in Windows In Windows having two directories with the same name breaks things. Git will report that your files have changed every time because it confuses `phony/meson.build` with `PHONY/meson.build`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: virtualbuildenv generator does not set LIB env var correctly in activate_build.bat Running **conan install** with -g virtualbuildenv generates activate_build.bat. The first four env vars set are: ``` SET PROMPT=... SET CL=... SET LIB=... SET_LINK_=... ``` CL and \_LINK\_ are set correctly, but LIB does not contain my "lib_path". According to the following code, what happens is LIB added to a dictionary with the correct lib_path, but then the call to "update" to add "vc_vars" overwrites the LIB value with the Visual Studio LIB value. **virtualbuildenv.py** ```javascript if compiler == "Visual Studio": self.env = VisualStudioBuildEnvironment(conanfile).vars_dict self.env.update(vcvars_dict(conanfile.settings, output=conanfile.output)) else: self.env = AutoToolsBuildEnvironment(conanfile).vars_dict ``` This is incorrect. The lib_path needs to be merged with the Visual Studio LIB value instead of being replaced. I'm using conan v1.12.3 on Windows 10 and Visual Studio 2015. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Don't install unittest code by default When doing `python3 setup.py install` on a local checkout of the code, files from `git/test` will be installed into the standard site-packages directory. This mean that theoretically even the requirements from `test-requirements.txt` are mandatory for the base package and secondly it isn't necessary as the chances that an user is actually using the test code are pretty low. So overall it doesn't make much sense to me. Is there any way to avoid having the test files installed via setuptools? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Add longlist support in ipdb. Tracking closed PR #3350. Add `longlist` support in ipdb, at least in Python 2.x. `longlist` seems to already be present in Python 3.x. Add longlist support in ipdb. Tracking closed PR #3350. Add `longlist` support in ipdb, at least in Python 2.x. `longlist` seems to already be present in Python 3.x. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: change name of 'condacmd' dir to 'condabin'; use on all platforms Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: drawing the schedule of an empty circuit raises warning from matplotlib ### Information - **Qiskit Terra version**: master - **Python version**: 3.8 - **Operating system**: MacOS ### What is the current behavior? ``` from qiskit import schedule, QuantumCircuit, transpile from qiskit.test.mock import FakeOpenPulse2Q circuit = QuantumCircuit(1) schedule(circuit, FakeOpenPulse2Q()).draw() ``` ``` .../qiskit-terra/qiskit/visualization/pulse_v2/plotters/matplotlib.py:160: UserWarning: Attempting to set identical left == right == 0.0 results in singular transformations; automatically expanding. self.ax.set_xlim(*axis_config.window) .../qiskit-terra/venv/lib/python3.8/site-packages/matplotlib/tight_bbox.py:71: RuntimeWarning: divide by zero encountered in double_scalars fig.patch.set_bounds(x0 / w1, y0 / h1, .../qiskit-terra/venv/lib/python3.8/site-packages/matplotlib/tight_bbox.py:72: RuntimeWarning: divide by zero encountered in double_scalars fig.bbox.width / w1, fig.bbox.height / h1) .../qiskit-terra/venv/lib/python3.8/site-packages/matplotlib/patches.py:769: RuntimeWarning: invalid value encountered in double_scalars y1 = self.convert_yunits(self._y0 + self._height) .../venv/lib/python3.8/site-packages/matplotlib/transforms.py:2013: RuntimeWarning: invalid value encountered in double_scalars self._mtx[1, 2] += ty ``` ### What is the expected behavior? I think the actual output drawing is correct. ![image](https://user-images.githubusercontent.com/766693/112750161-23fd5180-8fc7-11eb-9cf3-474aef62f6e4.png) However, I dont think these warnings are useful and they should be removed. ### Suggested solutions I think giving some dummy values is probably the cleanest way to remove these obscure warnings. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: vala: AttributeError: 'RawFilename' object has no attribute 'endswith' ``` python Traceback (most recent call last): File "/usr/share/meson/meson.py", line 188, in run app.generate() File "/usr/share/meson/meson.py", line 141, in generate g.generate() File "/usr/share/meson/ninjabackend.py", line 132, in generate [self.generate_target(t, outfile) for t in self.build.get_targets().values()] File "/usr/share/meson/ninjabackend.py", line 132, in <listcomp> [self.generate_target(t, outfile) for t in self.build.get_targets().values()] File "/usr/share/meson/ninjabackend.py", line 209, in generate_target header_deps)) File "/usr/share/meson/ninjabackend.py", line 1100, in generate_single_compile compiler = self.get_compiler_for_source(src) File "/usr/share/meson/backends.py", line 54, in get_compiler_for_source if i.can_compile(src): File "/usr/share/meson/compilers.py", line 824, in can_compile return fname.endswith('.vala') or fname.endswith('.vapi') AttributeError: 'RawFilename' object has no attribute 'endswith' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda 4.7 does not find a solution when installing two packages separately. When creating an environment with `libpysal` and then installing `geopandas`, ```shell conda create --name TEST libpysal --yes conda activate TEST conda install geopandas --yes ``` `conda 4.7` returns `UnsatisfiableError` b/c it refuses to downgrade a `python` build number to get a version with `readline 7`. This is probably an edge case that will go away once the `readline 8` migration on `conda-forge` is complete. But CIs will be broken every migration that touches a `python` dependency. Note that creating the environment in a single go like: `conda create --name TEST libpysal geopandas --yes`, or downgrading to `conda 4.6` works as expected. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: setup fails for python3 with LANG=C since Jörgen was added do release.py python3 fails due to the umlaut on systems with LANG=C ``` $ LANG=C python3.2 setup.py build Traceback (most recent call last): File "setup.py", line 61, in <module> from setupbase import target_update File "/tmp/ipython-ipython-da134db/setupbase.py", line 74, in <module> execfile(pjoin('IPython','core','release.py'), globals()) File "/tmp/ipython-ipython-da134db/setupbase.py", line 55, in execfile exec(compile(open(fname).read(), fname, "exec"), globs, locs) File "/usr/lib/python3.2/encodings/ascii.py", line 26, in decode return codecs.ascii_decode(input, self.errors)[0] UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 4379: ordinal not in range(128) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Define PermissionError in Python versions < 3.3 Simplify the logic by defining [__PermissionError__](https://docs.python.org/3/library/exceptions.html#PermissionError) in Python 2 in alignment with Python porting best practice [___use feature detection instead of version detection___](https://docs.python.org/3/howto/pyporting.html#use-feature-detection-instead-of-version-detection). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Make plot_state automatically convert state vectors to density matrices <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? When calling the `plot_state` visualization function the input must be a density matrix, however the statevector simulator returns a state vector that must be manually converted to a density matrix. This should be done automatically when a user calls `plot_state(statevector)`: Expected use: ```python import qiskit from qiskit.tools.visualization import plot_state qr = qiskit.QuantumRegister(2) circ = qiskit.QuantumCircuit(qr) circ.h(qr[0]) circ.cx(qr[0], qr[1]) result = qiskit.execute(circ, 'local_statevector_simulator).result() state = result.get_statevector(circ) fig = plot_state(state) fig.show() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda remove shouldn't fetch the package metadata It only needs it to print the channel location. It should either get that locally, or at least just use the index cache. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Tutorial on token classification throws casting error in Tensorflow 2.11 ### System Info - `transformers` version: 4.25.1 - Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35 - Python version: 3.9.0 - Huggingface_hub version: 0.11.1 - PyTorch version (GPU?): not installed (NA) - Tensorflow version (GPU?): 2.11.0 (True) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in> ### Who can help? @ArthurZucker @younesbelkada, the tutorial at `https://huggingface.co/docs/transformers/tasks/token_classification` throws the following error in Tensorflow 2.11 but not in Tensorflow 2.9: `(0) UNIMPLEMENTED: Cast string to float is not supported [[{{node Cast_1}}]] (1) CANCELLED: Function was cancelled before it was started 0 successful operations. ` ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction The tutorial at `https://huggingface.co/docs/transformers/tasks/token_classification` for Tensorflow ### Expected behavior Training should start, but it does not. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Two Local 'reps' doesn't raise 'TypeError' for string input <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**:0.17.2 - **Python version**:3.8.5 - **Operating system**:Linux Mint 20 ### What is the current behavior? When a string is supplied to reps parameter of TwoLocal , it tries raising ValueError which raises another error ### Steps to reproduce the problem Working Example ``` import qiskit two = qiskit.circuit.library.TwoLocal(3, 'ry', 'cx', 'full', reps='1', insert_barriers=True) ``` ### What is the expected behavior? If possible the string value should be converted to int and if not possible TypeError should be raised. ### Suggested solutions Try converting string to int, if error occurs raise TypeError Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Remove CloudHandler Remove the `cloud_handler` file and replace the `CloudHandler` with a `Client`; because clients now write tokens to disk which can be immediately retrieved by other clients, we don't even _necessarily_ need a global one to persist. I also think we should mock the client out and make sure it gets called appropriately when `prefect_cloud = True` in config. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Ability to identify if binaries can be executed on a particular platform Typically there is made use of `tools.cross_building(self.settings)` to identify that for example test binaries can't be executed on a particular platform. Though this particular solution is not really sufficient to handle for example the case of running on a macOS with Apple Silicon (M1) chipset, as in that particular case you can execute both x86_64 and armv8 binaries without any issue (even without Rosetta enabled). Extending `tools.cross_building` with yet another parameter similar to `skip_x64_x86` seems not a good option. Therefore it would be good to have a dedicated method for this usecase like for example `tools.can_run()`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Changing the `volumes_from` mode doesn’t trigger a recreate on that service I have a `docker-compose.yml`: ``` yaml redis: image: redis volumes_from: ["data"] data: image: tianon/true volumes: ["/data"] ``` If I start the app with `up -d` and then change the `volumes_from` line to add a mode (e.g. `volumes_from: ["data:ro"]`), the `redis` service isn't recreated when I run `up -d` again: ``` $ docker-compose up -d Starting counter_data_1 counter_redis_1 is up-to-date ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery Job objects not pickle-able @tseaver suggested I start a new issue after adding to a closed issue: https://github.com/GoogleCloudPlatform/google-cloud-python/issues/3191 BigQuery Job Objects are not pickle-able: ``` In [16]: job = client.copy_table(source_table,source_table) In [17]: job Out[17]: <google.cloud.bigquery.job.CopyJob at 0x1163a3320> In [18]: pickle.dumps(job) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-18-0c1255e2d696> in <module>() ----> 1 pickle.dumps(job) AttributeError: Can't pickle local object 'if_exception_type.<locals>.if_exception_type_predicate' ``` I'm guessing that's because it represents some sort of future? IMO it would be fine if `__getstate__` deleted the polling and let a reference that could be checked. @tseaver suggests: > As a workaround, you could pickle the result of job._to_api_repr, and then reconstitute it using client.job_from_resource. which works. This could also be done by `__getstate__` itself. Thanks Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add method to sign URLs in Cloud Storage See https://github.com/GoogleCloudPlatform/storage-signedurls-python/blob/master/gcs-signed-url-example.py Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Documentation minor mistake https://github.com/Qiskit/qiskit-terra/blob/8636502a832ee5c63a26f66c9669c88a1149e432/qiskit/qobj/pulse_qobj.py#L601 Probably won't matter too much, but just to state everything correctly. The PulseQobj.to_dict() should return a dictionary that describes the PulseQobj instead of QasmQobj, right? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: disassemble_circuits() suggested in qobj_to_circuits.py DeprecationWarning doesn't exist <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.8.0 - **Python version**: 3.7.2 - **Operating system**: macOS `qobj_to_circuits` gives the following `DeprecationWarning`: ```python .../qiskit/converters/qobj_to_circuits.py:34: DeprecationWarning: qiskit.converters.qobj_to_circuit() is deprecated and will be removed in Qiskit Terra 0.9. Please use qiskit.compiler.disassemble_circuits() to convert a qobj to list of circuits. ``` but `qiskit.compiler.disassemble_circuits()` doesn't exist. ### What is the current behavior? ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: cannot import name 'disassemble_circuits' from 'qiskit.compiler' (/Users/matteo/Work/projects/ibmq/env/lib/python3.7/site-packages/qiskit/compiler/__init__.py) ``` ### Steps to reproduce the problem 1. Installed qiskit in a new python virtualenv with `pip install qiskit` 2. `from qiskit.compiler import disassemble_circuits` ``` >>> qiskit.__qiskit_version__ {'qiskit': '0.10.0', 'qiskit-terra': '0.8.0', 'qiskit-ignis': '0.1.1', 'qiskit-aer': '0.2.0', 'qiskit-ibmq-provider': '0.2.1', 'qiskit-aqua': '0.5.0'} ``` ### What is the expected behavior? If a function is deprecated, and the warning suggests to use a new function, this function should exist in the current release. ### Suggested solutions Implement the function or change the deprecation warning. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: FormatterWarning for SVG matplotlib output in notebook Running Python 3.3 and from the current git, I'm having problems getting the inline matplotlib machinery to render SVG image files. I have made up a gist that shows the problem [1]. This is from an empty profile. Note that the default output works fine, but then using the instructions here [2] to get SVG output, the plot does not render and the FormatterWarning is thrown. It looks like a Python 3 compatibility thing, but it may bear noting that this is also on Windows. [1] http://nbviewer.ipython.org/gist/flacjacket/9605481 [2] http://ipython.org/ipython-doc/dev/api/generated/IPython.core.magics.pylab.html Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Unique hostname label is `docker-desktop` for Docker "host" networking type ## Current behavior The Local Agent (and Flow registration) typically generate a unique string (based on a call to `socket.gethostname()`) that gets used as a label to avoid collisions when multiple people are running Local Agents within an organization. If the Local Agent or Flow registration is running in a Docker container with the networking type set to "host" this unique string ends up as `"docker-desktop"`, negating the benefit of using this as a label that is unique to this particular Local Agent. ## Proposed behavior If the hostname is detected as `"docker-desktop"`, generate a string of random characters (or some other approach). When docker is run without "host" networking type, docker automatically generates a random hostname. Mimicking the default docker behavior might be a good example to follow. Such a change would avoid engineers being confused when their Flow runs get picked up by someone else's local agent. ## Example ![image](https://user-images.githubusercontent.com/2823453/82497158-cd2c0f00-9abb-11ea-9168-2c1bdf88f897.png) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Unhelpful documentation for Table.upload_from_file. The [docs](https://googlecloudplatform.github.io/google-cloud-python/stable/bigquery-table.html#google.cloud.bigquery.table.Table.upload_from_file) for `Table.upload_from_file` are not very helpful. Non of the actual default values are shown. They all show "foo=None". Also the docs indicate that "source_format" can only be JSON or CSV, but if you check the entry for "configuration.load.sourceFormat" [here.](https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs) You will see that AVRO is also accepted. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Fix asset compilation in start-airflow The recent change #29080 introduced missing black import in the pre-commit that run the compilation. The compilation happened in the background thread and it's ouptut was only visible in the asset_compilation output file This PR fixes the black import problem by removing unnecessary import, but it will also stop start-airflow and exit with error as well as surface the output of asset compilation to the console. <!-- Thank you for contributing! Please make sure that your code changes are covered with tests. And in case of new features or big changes remember to adjust the documentation. Feel free to ping committers for the review! In case of an existing issue, reference it using one of the following: closes: #ISSUE related: #ISSUE How to write a good git commit message: http://chris.beams.io/posts/git-commit/ --> --- **^ Add meaningful description above** Read the **[Pull Request Guidelines](https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst#pull-request-guidelines)** for more information. In case of fundamental code changes, an Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in a newsfragment file, named `{pr_number}.significant.rst` or `{issue_number}.significant.rst`, in [newsfragments](https://github.com/apache/airflow/tree/main/newsfragments). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Can GPT2LMHeadModel do batch inference with variable sentence lengths? Given GPT2 tokenizer do not have an internal pad_token_id, how do I pad sentences and do batch inference using GPT2LMHeadModel? Specifically my code as: ``` prompt_text = [ 'in this paper we', 'we are trying to', 'The purpose of this workshop is to check whether we can', ] tokens = [tokenizer.convert_tokens_to_ids(tokenizer.tokenize(x, add_prefix_space=True)) for x in prompt_text] inputs = pad_sequence([torch.LongTensor(x) for x in tokens], batch_first = True, padding_value=tokenizer.eos_token_id) outputs, past = model(input_ids=inputs, attention_mask=None) ``` This will return non-relevant predictions since GPT2 will consider the eos_tokens and start a new sentence in the batch. Can anyone please share sample codes that using GPT2LMHeadModel to do batch inference with various sentence lengths? Thanks! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Enable "conan config install" to install from a (git/svn cloned) folder Conan 1.7. Right now, conan can config-install from a repo, or from a zip file. It would be easy to allow doing the process from any folder. That could help with config in other sources or in unreachable repos by conan (user/passwd auth) (https://github.com/conan-io/conan/issues/3668). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: gcloud.datastore.demo seems broken Outside of the datastore demo throwing errors, it looks like we added a license header to it, which doesn't get ignored by our demo runner (and definitely confused me). If we're going to keep these, can we fix them up? If not, can we delete them? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: cython_pyximport reload broken in python3 python3.3 notebook, tested in 0.13.1 but the code looks the same in HEAD: %%cython_pyximport foo def f(x): return 4.0*x execute twice and you get ``` /usr/lib/python3/dist-packages/IPython/extensions/cythonmagic.py in cython_pyximport(self, line, cell) 99 if module_name in self._reloads: 100 module = self._reloads[module_name] --> 101 reload(module) 102 else: 103 __import__(module_name) NameError: global name 'reload' is not defined ``` imp.reload should be used here Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: If you don't have markdown, python setup.py install says no pygments When installing ipython 1.0dev without markdown installed, you get an error message that pygments cannot be found. This is due to a typo in setupext/setupext.py line 100. ``` python def check_for_markdown(): try: import markdown except ImportError: print_status('pygments', "Not found (required for nbconvert)") return False else: print_status('markdown', markdown.version) return True ``` Note the error says pygments instead of markdown. This is quite confusing when you are installing with pygments but not markdown. Please fix the typo. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: [Feature Request] Allow channel_alias to interpolate environment variables Hi all, I've encountered a few use cases where users might benefit from being able to fully mirror Anaconda.org's repo with platforms like Artifactory where access can be controlled with credentials. We're thinking it would be helpful for keeping .condarc clean to be able to use variables in the same way channels can, e.g.: https://${username}:${key}@private.repo.url/pkgs/ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: reload fig.yml to mount the changed volumes When I build a container/service with fig and then later change the directory structure and adjust the volume mounts in fig.yml, my container always wants to mount the old directory. This happens also when I rebuild the container with the `--no-cache` flag. Only way I have found to get the volumes to be updated is by removing all containers and their images (and the layers) and rebuilding. Interestingly, I've found that when I run the container with `fig run [container] /bin/bash`, the volumes are updated. Using `fig up` does not update the paths to the volumes. I think this is a bug, but it very well could be that I am missing a point.. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: How to use the reformer for question answering? In the code example in the documentation the tokenizer gets passed just a single string. Doesn't it need a context and a question? Also, how exactly to get the answer? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Feature request for computing eigenvalues of non-hermitian matrix. I'm basically looking for np.linalg.eig to be implemented in jax or jax.lax. I personally am looking for a speedup in the computation, and am not interested the derivative at this time. Thanks! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add id field for unique identification of Instructions and PulseLibraryItem in pulse <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? As suggested by @lcapelluto : Add some form of generated unique identifier `id` field for `SamplePulse`/`Instruction`/`PulseLibraryItem`/`...` in pulse, so that they can be identified using this instead of the `name` field. ### Purpose As far as I am aware, the only way to identify a `SamplePulse`/`Instruction`/`PulseLibraryItem`/`...` in pulse is through the `name` field. This has caused a recent issue in `Aer` as the names of `PulseLibraryItem`s now get a hash added at the end, and as such there ends up being a name mismatch between an `Instruction` in an experiment to play a sample pulse, and the name of the sample pulse itself in an assembled `PulseQobj`'s `pulse_library` (please correct me if the terminology i'm using is incorrect). E.g. if a sample pulse has name `rabi_pulse`, the `Instruction` to play the pulse will inherit the name `rabi_pulse`, but the name of the pulse in the `pulse_library` will be something like `rabi_pulse--83975728198`. As such, relating the `Instruction` to the sample pulse in the `pulse_library` using the `name` requires ignoring the `--83975728198`, which to work requires assumptions on what a user will "typically" enter into the `name` field. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Add gcrypt-config support As used by libgcrypt. This is useful as the upstream refuses to have a pkg-config file because they don't understand how it works. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Summary not working for model on GPU with multiple inputs **Describe the bug** When you want a summary for a model that requires multiple input parameters for forward, then this doesn't work. You can set self.example_input_array to be a tuple and there is some code for passing this to the forward method. However, if the model is on cuda, it tries to pass to move this input directly to cuda without a check whether it is a tuple or list. the line with the error is here: [pytorch-lightning/blob/master/pytorch_lightning/root_module/memory.py#L53](https://github.com/williamFalcon/pytorch-lightning/blob/7324dd902b8d071f4889ab1274a4d4dc09de9a78/pytorch_lightning/root_module/memory.py#L53) example of how it should be checked: [pytorch-lightning/blob/master/pytorch_lightning/root_module/memory.py#L61](https://github.com/williamFalcon/pytorch-lightning/blob/7324dd902b8d071f4889ab1274a4d4dc09de9a78/pytorch_lightning/root_module/memory.py#L61) **To Reproduce** Steps to reproduce the behavior: 1. create a model that requires multiple inputs in the forward method. 2. set self.example_input_array to be a tuple 3. run the model on GPU **Expected behavior** a list with all layers and the input and output shapes of these layers. **Screenshots** ![image](https://user-images.githubusercontent.com/6348139/69352469-4bc70180-0c7d-11ea-88c6-8056ab531c80.png) **Desktop (please complete the following information):** - OS: Linux Mint 19.2 - Browser chrome - Version 8.0.3904.97 (Official Build) (64-bit) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Ops involving only CPU tensors run on device, not CPU In the code below running jax op that has CPU backed inputs runs on device, (which for my use case OOMs): ``` def CpuArray(numpy_array): return jax.device_put(numpy_array, device=jax.devices(backend='cpu')[0]) data = CpuArray(np.ones([100, 4], dtype=np.float32)) slice_indexes = CpuArray(np.zeros([100], dtype=np.int32)) # Summing the data runs on TPU. summed_data = jnp.sum(data[slice_indexes]) # So does slicing it. sliced_data = data[100] print("data device", data.device_buffer.device()) print("sliced indexes", slice_indexes.device_buffer.device()) print("sliced data", sliced_data.device_buffer.device()) print("summed data", summed_data.device_buffer.device()) ``` Prints: ``` data device cpu:0 sliced indexes device cpu:0 Both output arrays are on TPU: sliced data device TPU_0(host=0,(0,0,0,0)) summed data device TPU_0(host=0,(0,0,0,0)) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: follow to #948 drop CPP from the best simulator class name <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? I don't want it showing cpp I would like it cpp to be the default and py added only if there is no cpp. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Fixing readout of backslashes (#6301) Changelog: (Bugfix): Fixing readout of backslashes (#6301) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: cuda: add Ampere+Orin, Ada and Hopper support with 11.8 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [SCM] Recipe with sources in the same repo copies to the source folder gitignored files Situation: I have a `conanfile.py` in a repo with: ``` scm = { "type": "git", "subfolder": "asdio", "url": "auto", "revision": "auto" } ``` There are some gitignored files such as `.vs`. Problem: When using `conan install -pr=...` it uploads *everything* including ignored files to the `source` folder. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Support ro option in volumes_from docker-compose 1.1.0 doesn't support `ro` in `volumes_from` yet. **error message**: ``` Service "container" mounts volumes from "nginx_logs_1:ro", which is not the name of a service or container. ``` **docker-compose.yml**: ``` yml container: build: . ports: - '19198:22' volumes_from: - 'nginx_logs_1:ro' ``` **docker command that works**: ``` docker run -d -p=19198:22 --volumes-from=nginx_logs_1:ro --name=ssh_container_1 ssh_container ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: --dependencies-only flag for development It'd be nice to have a `conda install -dependencies-only` flag. This would install all of the dependencies of the required package, but not the package itself. This would be useful when developing a package - it would allow you to install all of the required packages in one fell swoop. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan-libiconv failing when using short_paths = True due to permission problems in c:\.conan To help us debug your issue please explain: - [X] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [X] I've specified the Conan version, operating system version and any tool that can be relevant. - [X] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. conan version 1.1.0 Problem was found while reviewing [inclusion request](https://github.com/bincrafters/community/issues/143) for **conan-libiconv**. If the recipe is using **short_paths=True** Cygwing/Msys2 windows subsystems can fail while using **CONAN_USER_HOME_SHORT** (by default c:\\.conan usually NTFS file system) because by default [ACLs are evaluated in cygwing/msys2 too](https://cygwin.com/cygwin-ug-net/using-filemodes.html). **conan-libiconv** has a [workaround](https://github.com/bincrafters/conan-libiconv/blob/stable/1.15/conanfile.py#L109) to deal with this problem but it would be good if it's fixed in conan. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan compiler miss-detection In a linux machine with clang and gcc installed If I set CC and CXX to clang should auto detect clang not gcc. Related #138 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: [Content Gap] Add documentation for "Airflow Inject" ## What content is missing <!-- Help us to understand your request in context --> This is actually our most well-supported codepath in the airflow and not mentioned at all in airflow.mdx. We should also be clear that the "ingest" is pretty experimental ## (Optional) Target Date <!-- When do you want to have this by --> ## Writer's Guide - [Docs README](https://github.com/dagster-io/dagster/tree/master/docs) - Templates to follow: <fill by the docs team> - Examples for reference: <fill by the docs team> --- #### Message from the maintainers: Are you looking for the same documentation content? Give it a :thumbsup:. We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Finalize changelog for 0.6 release <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Is llvm with CMake is always static and nothing changed from 0.51x? **Describe the bug** I want to cross-compile with CMake-based LLVM detection (without LLVM-config). LLVM should be dynamic lib (at best, it should find libLLVM.so) with CMake. We cannot use llvm-config from cross-file due to qemu requirement (to run mipsel binaries on amd64), so, I do not provide it in cross file. **To Reproduce** Make native mipsel debian chroot via debootstrap Try to compile some llvm-dependent package with sysroot of this chroot. Non-llvm dependent library works fine. **Expected behavior** LLVM should be found without using qemy bu CMake usage. **system parameters** * Cross build, Ubuntu 20.04 -> debian bullseye mipsel * 3.8.10 * 0.63.0 * 1.10.0 Cross-file: ``` [constants] fs = '/mnt/chroot/debian' common_flags = ['--sysroot=' + fs ] [host_machine] system = 'linux' cpu_family = 'mips' cpu = 'mips32' endian = 'little' [properties] sizeof_int = 4 sizeof_wchar_t = 4 sizeof_void* = 4 alignment_char = 1 alignment_void* = 4 alignment_double = 4 has_function_printf = true sys_root = fs pkg_config_libdir = [fs + '/usr/lib/mipsel-linux-gnu/pkgconfig', fs + '/usr/share/pkgconfig'] c_args = common_flags + ['-I' + fs + '/usr/include', '-L' + fs + '/usr/lib/mipsel-linux-gnu'] [binaries] c = 'mipsel-linux-gnu-gcc' cpp = 'mipsel-linux-gnu-g++' strip = 'mipsel-linux-gnu-strip' pkgconfig = 'pkg-config' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda remove doesn't complain if only some of the packages don't exist If I do `conda remove foo bar` and neither of them are in the current environment then I get an error. However if I do `conda remove foo bar` and `foo` is present but `bar` is not then `foo` gets removed but there is no error or warning that `bar` wasn't there and was not removed. I discovered this because I misunderstood the behavior of the `--features` flag, so it also applies to removing features. I would suggest that a warning is required as a minimum, and perhaps it should be an error to be "symmetric" with a `conda install foo bar` where `foo` exists to be installed but `bar` does not (which just reports an error, and does not install anything). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: BlenderbotSmallTokenizer throws tuple index out of range error for stopword Using transformers==3.4.0 Script used: ``` from transformers import BlenderbotSmallTokenizer, BlenderbotForConditionalGeneration mname = 'facebook/blenderbot-90M' tokenizer = BlenderbotSmallTokenizer.from_pretrained(mname) sentence = "." tokenizer(sentence)['input_ids'] ``` This throws `IndexError: tuple index out of range` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan info generates bad .conan_link files To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Operating System: Windows 10 64-bit Conan version: v1.11.2 I have a situation where I have two recipes - A and B, and recipe A depends on recipe B. What I do to determine the depdencies between my recipes is: 1. Run `conan export` over all recipes 2. Run `conan info -g out.dot` to generate the dependency graph for all recipes 3. Parse the dependency graph for each recipe to generate the full dependency graph Once I have the complete graph, I can then traverse it to build the recipes in the right order. The issue I have is when I run conan info on recipe A (which depends on B), on Windows, I get a `c:\Users\MyUser\.conan\data\recipeB\0.0.2\user\channel\package\69f10d1e6d78c1962fbe8fb80440f32b1fdf8423\.conan_link`. And that `.conan_link` points to a directory which doesn't exist. So if I now tried to do an upload of all recipeB packages, I get an error from conan saying that particular package is corrupted. Removing that particular package folder (the one with a hash as its name) fixes the issue. Do you think this issue can be fixed in conan? Currently, we work around the issue by specifically looking for these broken `.conan_link` files and removing the package folders they're in. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: %rerun doesn't handle integer parsing errors ## Steps to reproduce * Execute `%rerun -l one` ## Expected result An error message is printed, explaining the usage of the `-l` option. ## Actual result An uncaught `ValueError` with the traceback that's exposing the internals of the implementation and not being too helpful. ## System info Manjaro Linux, Python 3.9.4, IPython 7.22.0 (reproduces on IPython 8.0.0.dev) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: AttributeError: 'SubprojectHolder' object has no attribute 'd_features' **Describe the bug** Attempting to use `libjpeg-turbo` from `wrapdb` as a dependency for my project. During compilation, I get told that the above-mentioned error should be reported. As a law-abiding developer, I humbly oblige. **To Reproduce** ```meson project( 'meson_wrap_reproduct', 'c', version: '0.1', default_options: [ 'c_std=18', 'warning_level=3', 'werror=true' ], ) libjpeg = subproject('libjpeg-turbo') executable( 'meson_wrap_reproduct', 'meson_wrap_reproduct.c', dependencies: [ libjpeg, ] ) ``` with `libjpeg-turbo` as a subprojects dependency. **Expected behavior** Using the dependency from `wrapdb` should work. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? * Plain * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) * Arch Linux @ 5.17.9 * what Python version are you using e.g. 3.8.0 * 3.10.4 * what `meson --version` * 0.62.2 * what `ninja --version` if it's a Ninja build * 1.10.2 This seems to be the case for `libpng` as well, so I'm assuming this is a wider problem. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Appleframeworks not detected with gcc-10 (homebrew installation) in Mac Steps to reproduce: 1. create a project with a dependency on 'appleframeworks'. 2. see it fail. Gcc path does show the framework path: ``` /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks ``` Also, adding `-framework Appkit` via link_args in replacement of real meson detection to target does find the framework and it works (workaround). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Solovay-Kitaev Sa ### Environment - **Qiskit Terra version**: 0.23.1 - **Python version**: python3.8 - **Operating system**: Linux (Google Colab) ### What is happening? When factorizing the S gate with SolovayKitaev(), the output gives $T^2$ but not a single S gate. I know it's mathematically correct, but when I try to define the basis_gates to only include S gate but not T gate, the result is still $T^2$. Same goes the Sdg gate. ### How can we reproduce the issue?   ### What should happen? The expected output should be a single S or Sdg gate when the basis_gate set is defined to include them. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?